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- Tasks: Lead a team in backend engineering and machine learning infrastructure.
- Company: Leading tech firm in London with a focus on innovation.
- Benefits: Hybrid working model, competitive benefits, and career growth opportunities.
- Why this job: Join a talented team and shape the future of machine learning.
- Qualifications: 6+ years in backend engineering and 1-3 years in leadership.
- Other info: Dynamic environment with a strong emphasis on technical excellence.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in London is seeking a hands-on ML Platform Engineering Manager to lead a small team focusing on backend engineering and machine learning infrastructure. The ideal candidate will possess over 6 years of backend experience, including 1-3 years in leadership, while maintaining a strong technical role in system design and architecture. This position offers a hybrid working model, competitive benefits, and the opportunity to work with a talented, distributed team.
Hands-on ML Platform Lead – Hybrid London employer: Aptonet
Contact Detail:
Aptonet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-on ML Platform Lead – Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in machine learning or backend engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to ML and backend engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Ace the interview! Research common interview questions for ML Platform Leads and practice your responses. Be ready to discuss your technical expertise and leadership experiences, as well as how you can contribute to the team.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right role. Plus, applying directly shows your enthusiasm for the position and helps us get to know you better right from the start.
We think you need these skills to ace Hands-on ML Platform Lead – Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend engineering experience and any leadership roles you've had. We want to see how your skills align with the ML Platform Lead position, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your hands-on experience makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Don’t forget to include specific examples of your technical expertise in system design and architecture. We love seeing how you’ve tackled challenges in the past, so share those stories that demonstrate your problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Aptonet
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and machine learning infrastructure. Be ready to discuss specific projects you've worked on, the technologies you used, and how you approached system design and architecture.
✨Show Leadership Qualities
Even if you're still in a technical role, it's crucial to demonstrate your leadership experience. Prepare examples of how you've led teams or projects, resolved conflicts, and mentored others. This will show that you can manage a small team effectively.
✨Understand the Company Culture
Research the company’s values and culture. Be prepared to explain how your personal values align with theirs. This is especially important in a hybrid working model where collaboration and communication are key.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face in ML platform engineering, and their future goals. This not only shows your interest but also helps you gauge if the role is the right fit for you.
